以福建某电镀厂镀镍废水为研究对象,采用Fenton耦合铁碳微电解技术对其进行处理,考察了铁投加量、铁碳质量比、初始pH值及H2O2投加量对CODCr去除率的影响,通过响应面法优化工艺条件,建立二次多项式预测模型,分析各因素间的交互作用,并检验模型的准确性.结果表明,各因素对CODCr去除率的影响显著性排序为:初始pH值>H2O2投加量>铁碳质量比>铁投加量;当铁投加量为40 g·L-1、铁碳质量比为0.8、初始pH值为4.0、H2O2投加量为30 mmol·L-1时,CODCr去除率为78.2%,与预测值(78.9%)基本吻合,说明采用响应面法优化得到的工艺条件准确可靠.
Taking nickel plating wastewater from an electroplating plant in Fujian as a research object,we treated it by Fenton-coupled iron-carbon micro-electrolysis technology,and investigated the effects of iron dos-age,iron-carbon mass ratio,initial pH value,and H2O2 dosage on CODCr removal rate.Moreover,we optimized the process conditions by response surface methodologies,and established a quadratic polynomial prediction model to analyze the interaction among various factors.Meanwhile,we tested the accuracy of the model.The re-sults show that the order of significance of each factor on the CODCr removal rate is as follows:initial pH value>H2O2 dosage>iron-carbon mass ratio>iron dosage.When the iron dosage is 40 g·L-1,the iron-carbon mass ratio is 0.8,the initial pH value is 4.0,and the H2O2 dosage is 30 mmol·L-1,the CODCr removal rate reaches 78.2%,which is basically consistent with the predicted value(78.9%).It is shown that the process conditions optimized by response surface methodologies are accurate and reliable.